#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv/cv.h> using namespace cv; using namespace std; Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345); /// Function header void thresh_callback(int, void*); /** @function main */ int main(int argc, char** argv) { /// 加载源图像 src = imread("ee.jpg", 1); /// 转成灰度并模糊化降噪 cvtColor(src, src_gray, CV_BGR2GRAY); blur(src_gray, src_gray, Size(3, 3)); /// 创建窗体 char* source_window = "Source"; namedWindow(source_window, CV_WINDOW_AUTOSIZE); imshow(source_window, src); createTrackbar(" Canny thresh:", "Source", &thresh, max_thresh, thresh_callback); thresh_callback(0, 0); waitKey(0); return(0); } /** @function thresh_callback */ void thresh_callback(int, void*) { Mat canny_output; vector<vector<Point> > contours; vector<Vec4i> hierarchy; /// 用Canny算子检测边缘 Canny(src_gray, canny_output, thresh, thresh * 2, 3); /// 寻找轮廓 findContours(canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0)); /// 绘出轮廓 Mat drawing = Mat::zeros(canny_output.size(), CV_8UC3); for (int i = 0; i < contours.size(); i++) { Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255)); drawContours(drawing, contours, i, color, 2, 8, hierarchy, 0, Point()); } /// 在窗体中显示结果 namedWindow("Contours", CV_WINDOW_AUTOSIZE); imshow("Contours", drawing); }
转载自:
http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/imgproc/shapedescriptors/find_contours/find_contours.html#find-contours